Cross-Sectional and Longitudinal Associations of Systolic Blood Pressure With Quality of Life and Depressive Mood in Older Adults With Cardiovascular Risk Factors: Results From the Observational DIAST-CHF Study

OBJECTIVE: Although diagnosed arterial hypertension and antihypertensive medication usually have an adverse impact on quality of life, recent studies suggest that actual blood pressure may be positively related to better well-being. However, data in older patients with cardiovascular risk factors are lacking, for whom such an association may be of particular relevance. METHODS: In 1300 adults aged 50 to 85 years with cardiovascular risk factors (51.5% men, mean age = 65.7 ± 8.2 years) participating in an observational study, we performed standardized measurements of blood pressure and assessed quality of life and depressive symptoms at baseline and 1-year follow-up using the Short Form-36 (SF-36) and the Hospital Anxiety and Depression Scale (HADS). RESULTS: Bivariate analysis demonstrated that systolic blood pressure was associated with higher SF-36 mental component summary scores (r = 0.100, p < .001) and reduced HADS depression (r = -0.082, p = .003). Multivariate regression models adjusting for age, sex, and disease severity confirmed that higher systolic blood pressure significantly predicted both better mental quality of life (β = 0.070, p = .012) and less depressive mood (β = -0.083, p = .003) at baseline, independently of antihypertensive medication and diagnosed hypertension. Moreover, the beneficial effects of baseline systolic blood pressure remained stable for both summary components of the SF-36 as well as HADS depression at 1-year follow-up. All results remained unchanged, when limiting the analyses to the 1072 patients with diagnosed hypertension. CONCLUSIONS: In older adults with cardiovascular risk factors, higher systolic blood pressure readings are independently related to better quality of life and fewer depressive symptoms in both cross-sectional and longitudinal settings, although the magnitude of the effect sizes is typically small.